AI Smart Camera: developing deep learning prediction model on pressure ulcer changes in long-term bedridden patients( II )

Project: A - Government Institutionb - National Science and Technology Council

Project Details

Description

醫界估計長期臥病在床的人有5%到27%會發生壓瘡,每年更有數萬人死於壓瘡相關疾病,併發症造成的死亡率比一般住院患者高4倍。基於龐大的醫療需求,壓瘡偵測模型對於提升病患品質、減少因為併發症產生的醫療支出、減輕健保的財務壓力上,都會有實質的幫助;也有益於推廣人工智慧在醫療相關產業的運用,促進經濟及醫療產業的發展。
StatusFinished
Effective start/end date6/1/215/31/22

Keywords

  • deep learning
  • long-term bedridden
  • pressure ulcer
  • AI Smart Camera